AI CCTV Attendance & Counting App

@pinkeegupta

Hello I will be able to help you. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. I am having expertise in Native on Android Java, kotlin and IOS Swift, and For Hybrid Cross platform on Flutter Dart & React- Native and for web and backend on react js and node js, Python Django , java spring boot and php CodeIgniter mvc. Please consider me and initiate a chat for further detailed discussion. Regards, Anju

@Arunmohan001

Hi, I’d be happy to help you with this. I’ve done similar Android projects and focus on fast, reliable delivery. Let me know the details — I can start right away. – Arun

@kaustubhbawa123

Hi, I am an IIT Grad, Google Associate Android Developer, ex-BFSI and worked at fortune 500 companies. I will make it a reality for you. As a Mobile App Developer, I can develop a cross-platform mobile application using Flutter with Firebase backend, Google Cloud Vision API for face detection, and machine learning algorithms to automate customer counting, ensuring seamless integration with existing CCTV system. Kindly click on the chat button so we can discuss and get started. Will share you my prior projects done and my resume too. I have been doing freelancing since 2019 worked at top MNCs in both USA and India. Lets connect

@Riasatali78

As an experienced Android developer with a strong focus on efficient, high-performing coding, I believe I can offer a great deal to your AI CCTV Attendance & Counting App project. My long-standing skillset in Kotlin and Java combined with my proficiency in using cutting-edge development tools such as OpenCV and TensorFlow Lite aligns perfectly with your project requirements of a lean, fast, yet highly effective app. My knowledge in building robust cloud endpoints will ensure a smooth connection to your existing CCTV streams whilst ensuring steady data flow and processing power on mid-range Android devices. Throughout my 7+ years in Android development, I have developed an eye for detail when it comes to user-experience optimization. Your need for speed and ease-of-use resonates with my philosophy of delivering intuitive, responsive dashboards. My expertise in pushing data-driven alerts through Firebase and the integration of other essential libraries like Retrofit and Room Database further strengthens my ability to deliver on your requirements.

@NEHABHAT92

With nearly a decade of experience in web and mobile development, I am well-poised to bring your AI CCTV Attendance & Counting App to life. My team has a strong background in Android development and we have the technical proficiency to leverage computer vision libraries such as OpenCV or Tensorflow Lite. We understand that for you, speed, ease of use and compatibility with existing CCTV streams are paramount - and these are areas where we excel. We always strive to provide the highest quality work to our clients, focusing on turning their ideas into reality. Our expertise spans across a multitude of domains including E-commerce and CMS based websites which also aligns well with this project. Additionally, as part of our service, we'll not only deliver the fully operating Android APK but also provide you a short setup guide for future deployments or updates – giving you control over the system. But our dedication doesn't end there. We also offer free 3-month support for existing developments to ensure your system remains running smoothly. And while we guarantee competitively priced services, we never compromise on quality thus ensuring that you're getting the best value-for-money. Choose my team and I guarantee an MVP that not only just works but exceeds your expectations.

@santoshkumars17

With over 5 years of professional experience as a Full Stack Web and Mobile App Developer, I believe I am the ideal fit for your AI CCTV Attendance & Counting App project. I specialize in mobile app development, including Android applications, which aligns perfectly with the requirement for your food-court CCTV system. I have a strong proficiency in using technologies like React Native, Flutter, and other frontend/backend tools such as React.js, HTML, CSS, JavaScript, and Node.js to create scalable and user-friendly mobile applications. I also possess valuable experience in utilizing lightweight computer vision libraries like OpenCV or TensorFlow Lite, ensuring both speed and reliability of the app on mid-range Android devices. Prompt delivery is non-negotiable to me. A combination of my skills with the innovative approach to problem solving that I bring will ensure I deliver a comprehensive solution to meet your specific needs. My flexibility in offering end-to-end development support will also be beneficial for any upcoming change or updates you may require. In essence, let’s build an amazing system together—one that revolutionizes attendance logging and customer tracking while remaining intuitive and efficient on every Android device. You have my assurance that if given the opportunity; we’ll exceed your expectations on all fronts; from accurate data presentation on the dashboard to timely alerts through in-app and push notifications.

@fullstack0407

I have read your job and I’m ready to build a lean, first-release Android app for your food-court CCTV system that delivers accurate staff attendance and customer-count insights in a simple, responsive dashboard. I focus on delivering an MVP that just works—accurate counts, correct staff logs, and reliable alerts without unnecessary extras. I can ensure the app integrates cleanly with your existing CCTV streams while remaining fast and lightweight. We can iterate quickly to verify accuracy within your test period, making sure it meets your acceptance criteria before final delivery.

@nadeemkhan7

Hello, I went through your project description and it seems like that I am a great fit for this job. I have an expert team with many years of experience in Java, Mobile App Development, Android, Software Architecture, Face Recognition, OpenCV, Computer Vision, Android App Development. Please come over chat and discuss your requirement in a detailed way. Thank You

@SahseeTechnology

Hello, I can help build your Android MVP app for CCTV-based staff attendance and customer counting with a fast, reliable dashboard optimized for real-world usage. From your description, the goal is to create a lightweight computer-vision solution that processes camera feeds to track staff entry/exit and count customers, while providing clear daily insights. Approach: I will develop the app using Android (Java/Kotlin) with OpenCV / TensorFlow Lite for on-device processing to ensure performance on mid-range devices. The system will connect to your CCTV streams, detect faces for attendance logging, and perform people counting with time-based aggregation. A central dashboard will display total staff, customer count, and peak hours, with smooth performance on both phones and tablets. I will also implement alerts for late entry and no activity, triggered in-app or via push notifications. Deliverables: • Android APK + full source code • Face-based attendance tracking (in/out logs) • Customer counting with daily summaries • Responsive dashboard (mobile + tablet) • Alert system (late/no activity) • Setup guide for deployment and updates The solution will remain lightweight, scalable, and easy to extend. Please share sample CCTV stream access so I can validate the integration approach. Best regards Gagan

@UzeeTech

As a seasoned Full-Stack Developer with over seven years of experience, I'm equipped to handle the complexity and intricacies of your AI CCTV Attendance & Counting project. I have deployed computer vision solutions in several projects, and leveraging lightweight computer-vision libraries such as OpenCV or TensorFlow Lite to achieve the desired result is within my skill set. I understand the importance of speed and ease of use, as you highlighted for this MVP, and ensure that the end-product remains fast on mid-range Android devices to deliver a smooth and efficient user experience. My expertise extends beyond mobile app development; a well-rounded skillset for an integrated project such as yours. I have built web applications with secure backend architecture, scalable SaaS platforms with analytics dashboards, integrated AI models for computer vision, and created eCommerce solutions through custom app development. My proficiency with languages like Python and frameworks like Django, Flask, plus my knowledge in TensorFlow and PyTorch lends itself perfectly for this project. What sets me apart from others is not only my technical capabilities but also my strong emphasis on clear communication and timely delivery. You can count on me for daily updates, realistic timelines, and zero ghosting. I'm confident we can build an app that not only meets but exceeds your expectations for your food-court CCTV system. Let's get started!

@himanshus642

With over five years of experience as a full-stack developer, I believe I'm perfectly suited for your AI CCTV Attendance & Counting App project. My specialization in SaaS platforms development and API integrations aligns effortlessly with your needs to ensure clean architecture, security, and powerful performance. I have prior experience in working with OpenCV and Android App Development - skills that are relevant to the successful execution of this project. Your desire for speed and ease-of-use is something I fully understand and uphold in my work. I prioritize delivering an outstanding Minimum Viable Product (MVP) that's not only reliable but also meets all your requirements. In fact, my recent projects have demonstrated my commitment to on-time delivery and 5-star client feedback - testimonies to my ability to deliver successfully.

@adityakhuman006

As an Android developer well-versed in Java and mobile application development, I'm confident in my ability to create the AI CCTV Attendance & Counting App that you need. My skill set extends far beyond just knowing how to code, as I take a holistic approach to each project. I aim to deeply understand and align myself with the unique objectives, constraints, and vision of each client. This dedication ensures that the solutions I deliver are not only technologically advanced but also genuinely address your specific needs. Having worked on various projects and leveraging lightweight computer-vision libraries like OpenCV or TensorFlow Lite suits me perfectly for this project. The AI-based facial recognition and customer counting functionalities are well within my capabilities, as I have delivered similar features successfully in previous applications. Speed and ease of use are priorities for me; I am committed to crafting a Minimum Viable Product (MVP) sans the complexities but with maximum efficiency.

@Mayanks010

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Mayank Sahu

@samyak8840

Hi, I am Samyak. I have experienced in building AI Systems. Developed object detection projects. I can enable in camera for attendance, I will provide desktop application to control it from your end with multi revisions without any extra cost. You can see feedback of my clients. In 3 days I will deliver it. We can connect on chatbox. Thanks

@sumanj555

Hello, Greetings! I’m a senior full-stack developer with 6+ years of experience in building scalable mobile and web applications. I specialize in cross-platform and native mobile development using Flutter, React Native, Swift (iOS), and Kotlin/Java (Android), along with strong backend expertise in Node.js, Django, FastAPI, and Laravel, supported by modern cloud technologies. My team and I build end-to-end mobile solutions including custom dashboards, internal tools, automation systems, role-based platforms, secure APIs, real-time features, payment integrations, push notifications, and complete app store deployments. We focus on creating smooth user experiences, clean architecture, and reliable performance. We’ve worked on numerous mobile projects with different requirements and complexities, helping clients turn their ideas into well-designed, high-performing applications. Your project aligns well with our technical skills and development approach. I’d be happy to discuss your project scope, ideas, and goals, and suggest the best technical approach. Best regards, Suman Joshi

@Karan829933

Hello, I reviewed your requirements for the CCTV-based Android application focused on staff attendance and customer counting. I have experience building lightweight computer-vision solutions optimized for real-time performance on Android devices. I can develop an MVP that connects to your existing camera feeds, processes video streams using efficient models (OpenCV/TensorFlow Lite), and delivers accurate face-based attendance tracking along with customer counting. The system will log entry/exit times, detect inactivity, and trigger alerts for late arrivals or no activity in monitored areas. The app will include a clean, responsive dashboard optimized for both phones and tablets, showing total staff present, daily customer count, and peak traffic times. I will ensure the solution remains fast, reliable, and easy to use, with minimal setup complexity. You will receive the complete APK, source code, a simple deployment guide, and a system designed so you can easily add new cameras or update models in the future.

@shailender18

I propose developing an AI-powered CCTV-based attendance and people-counting app that delivers accurate, real-time insights with minimal manual effort. The system will use computer vision models (such as face recognition and object detection) to identify individuals, mark attendance, and track entry/exit counts automatically. It will support multiple camera feeds, ensure high accuracy in varying lighting conditions, and include anti-spoofing measures for security. A clean dashboard will display attendance logs, analytics, and reports with export options. The solution will be scalable, privacy-compliant, and optimized for performance. I will ensure seamless integration, thorough testing, and a user-friendly interface tailored to your specific operational needs.

@AnuragNagare

Hi, I'm Anurag Nagare, Senior AI/ML Engineer with proven expertise in computer vision (YOLO, InsightFace, CNNs via TensorFlow/PyTorch) and deploying lightweight ML models for real-time apps, including anomaly detection and production pipelines on AWS/Docker. For your food-court CCTV MVP, I'll build the Android APK using TensorFlow Lite + OpenCV for on-device face recognition (staff attendance with in/out logging, late/no-activity alerts) and customer counting, ensuring fast performance on mid-range devices with smooth RTSP stream integration. ​ The responsive dashboard will aggregate daily summaries/peaks with push notifications via Firebase, plus a simple setup guide for camera additions. Timeline: APK + source (Week 1), dashboard/alerts/testing (Week 2), full handover. See relevant CV work: Portfolio, LinkedIn. Ready to start—let's align on streams! Best, Anurag

@lightninglabs

Hi, I can build this as a full system: a Python/OpenCV backend for RTSP stream processing + face recognition + people counting, paired with a clean web dashboard (React + Node.js) and a lightweight Android companion app. Architecture: - Backend service (Python + OpenCV/TensorFlow Lite) consumes RTSP streams, runs face detection for staff attendance, and uses background subtraction or YOLOv8 for customer counting - REST API (Node.js) exposes attendance logs, customer counts, and alert triggers - React dashboard shows: staff on-site, customer totals, peak time charts, and alert history — responsive on phones and tablets - Android app (React Native or native Java) connects to the backend API for mobile monitoring + push notifications via FCM Deliverables: - Real-time face-based attendance with in/out timestamps and late-arrival alerts - Daily customer count summaries with peak traffic detection - Dashboard that loads smoothly on phones and tablets - APK + source code + one-page deployment guide I'll start with the RTSP connection test and face enrollment module so you can validate accuracy early. Happy to answer your question about camera models — RTSP support is standard on most IP/CCTV cameras. Ready to start immediately. Best, Huy